A5071568179- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- EEG and Brain-Computer Interfaces
- Robotic Path Planning Algorithms
- Iterative Learning Control Systems
- AI in cancer detection
- Robotics and Sensor-Based Localization
- Neural Networks and Applications
- Control and Dynamics of Mobile Robots
- Control Systems and Identification
- Adaptive Dynamic Programming Control
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Refrigeration and Air Conditioning Technologies
- Image and Object Detection Techniques
- Image Processing and 3D Reconstruction
- Evaluation and Optimization Models
- Fault Detection and Control Systems
- Domain Adaptation and Few-Shot Learning
- Gaze Tracking and Assistive Technology
- Electrochemical sensors and biosensors
- Color Science and Applications
- Image Processing Techniques and Applications
- Distributed Control Multi-Agent Systems
- Maritime Ports and Logistics
Tianjin University
2016-2025
Wenzhou Medical University
2024-2025
Hebei University
2025
Inner Mongolia People's Hospital
2025
Al Fashir University
2024
Zhejiang Lab
2024
Northeast Agricultural University
2024
Henan Institute of Science and Technology
2024
Dongfang Electric Corporation (China)
2014-2024
Hubei Normal University
2024
Detecting epileptic seizure from EEG signals constitutes a challenging problem of significant importance. Combining adaptive optimal kernel time-frequency representation and visibility graph, we develop novel method for detecting signals. We construct complex networks recorded healthy subjects epilepsy patients. Then employ clustering coefficient, coefficient entropy average degree to characterize the topological structure generated different brain states. In addition, combine energy...
We report on the synthesis of embedded gold (Au) nanoparticles (NPs) in Nd:YAG single crystals using ion implantation and subsequent thermal annealing.
Electroencephalogram (EEG), obtained by wearable devices, can realize effective human health monitoring. Traditional methods based on artificially designed features have achieved valid results in EEG-based recognition, and numerous studies start to apply deep learning techniques this area. In article, we propose a coincidence-filtering-based method build connection between artificial-features-based convolutional neural networks (CNNs), design CNNs through simulating the information...
This article considers the decentralized stabilization problem of continuous-time nonlinear systems subject to unmatched interconnections and asymmetric input constraints. Initially, with nonquadratic value functions being introduced constrained auxiliary subsystems, is converted into an array optimal control problems. It proved that all solutions these problems together assure asymptotic stability entire system. Then, in framework adaptive critics, critic-only architecture built solve...
To accurately detect dynamic objects in scenes, a detection framework equipped with visual based measurement methods has been proposed this paper. Firstly, to segment real time, the real-time instance segmentation network YOLACT (You Only Look At CoefficienTs) introduced. Secondly, geometric constraints have utilized further filter missing feature points outside mask. The dense optical flow method adaptive threshold introduced driven by humans. Thirdly, background inpainting strategy restore...
Considering energy preservation and ecological conservation, the electrocatalytic reduction of nitrate wastewater to valuable ammonia (NO3RR) has broad application prospects. Nonetheless, multiple electron transfers hydrogen evolution competition severely hinder reaction kinetics selectivity. Herein, Cu/Cu2O/CuO hierarchical nanosheets with a multiphase interface was designed by in situ electrochemical reconstruction. The 1D structure composed vertically expanded can reveal numerous active...
This study presents a non‐linear ensemble of partially connected neural networks for short‐term load forecasting. Partially are chosen as individual predictors due to their good generalisation capability. A group‐based chaos genetic algorithm is developed generate diverse and effective networks. novel pruning method employed develop To further enhance prediction accuracy, an artificial network‐based network developed. The proposed evaluated on PJM market dataset ISO New England with...
We study the decentralized event-driven control problem of nonlinear dynamical systems with mismatched interconnections and asymmetric input constraints. To begin with, by introducing a discounted cost function for each auxiliary subsystem, we transform constrained into group H2 -constrained optimal problems. Then, develop Hamilton-Jacobi-Bellman equations (ED-HJBEs), which arise in Meanwhile, demonstrate that all solutions ED-HJBEs together keep overall system stable sense uniform ultimate...
Space research is of great significance to increasingly decentralized and distributed space systems, path planning in systems has become a hotspot for maintaining their safety, security, reliability. To explore the passable connecting starting point target point, optimize smooth trajectory that can be tracked by unmanned aerial vehicles (UAVs) 3-D space, skeleton-extraction- greedy-algorithm-based been proposed guide flight UAVs. First, rapidly exploring random tree (RRT) introduced search....
The study aimed to evaluate the effect of GeLMA/bFGF hydrogel loaded with dental pulp stem cells (DPSCs) on repair and regeneration traumatic optic nerve injury. was photo-cross-linked by LED light. physical-chemical properties cytocompatibility after being squeezed (GeLMA/bFGF-SQ) were evaluated SEM degradation analyses, as well live/dead CCK-8 assays, respectively. axon growth PC12 MAP2 staining. GeLMA/bFGF/DPSCs-SQ injected in situ into lesion site observe number retinal ganglion (RGCs)...
A multi-rotor-based ER targeting fluorescent probe was rationally constructed. It has been successfully utilized to assess viscosity changes during starvation-induced ER-phagy.
Human activities have a significant impact on the climate by altering vegetation types and modifying surface properties, resulting in more frequent intense extreme weather events, which pose threat to sustainable development of environment. However, specific effects change temperature events are not fully understood. To address this gap, we conducted evaluations with both in-situ observations regional model determine contributions different transitions changes over China. Our findings...